Izgara Bazlı Yol Planlama için Matematik Tabanlı Metasezgisellerin Karşılaştırılması

Yıl 2021, , 521 - 530, 31.12.2021

Mustafa Yusuf Yıldırım , Rüştü Akay

https://doi.org/10.31590/ejosat.1039899

Öz

Robot navigasyonunun en önemli bileşenlerinden biri olan yol planlama son yıllarda da araştırmacılar tarafından kapsamlı bir şekilde incelenmekte ve bu problem için birçok farklı metasezgisel algoritma kullanılmaktadır. Bu çalışmada ızgara tipi bir ortamda bir mobil robotun küresel yol planlaması ele alınmış ve bu problem için farklı matematik tabanlı metasezgisel algoritmalarının etkileri incelenmiştir. Öncelikle ızgara tipinde ve farklı zorluk derecelerinde üç farklı ortam tasarlanmıştır. Ardından, son yıllarda geliştirilen farklı matematik tabanlı algoritmalar kullanılarak robotun ortamlardaki optimum yolları hesaplanmıştır. Çalışmada metasezgisel algoritma olarak stokastik fraktal arama (Stochastic Fractal Search, SFS), aritmetik optimizasyon algoritması (Arithmetic Optimization Algorithm, AOA) ve sinüs kosinüs algoritması (Sine Cosine Algorithm, SCA) kullanılmıştır. Bulgular değerlendirildiğinde SFS algoritmasının en kısa mesafe ve engelden kaçınma açısından diğer algoritmalara göre daha iyi sonuçlar verdiği gözlemlenmiştir.

Anahtar Kelimeler

Yol Planlama, Metasezgisel, Matematik Tabanlı Algoritmalar, Optimizasyon

Comparison of Maths-Based Metaheuristics for Grid-Based Path Planning

Öz

Path planning, one of the most important components of robot navigation, has been extensively studied by researchers in recent years and many different metaheuristic algorithms are used for this problem. In this study, the global path planning of a mobile robot in a grid-type environment is discussed and the effects of different maths-based metaheuristic algorithms for this problem are investigated. First, three different environments with grid type and different difficulty levels were designed. Then, the optimum paths of the robot in the environments were calculated by using different maths-based algorithms developed in recent years. Stochastic fractal search (SFS), arithmetic optimization algorithm (AOA) and sine cosine algorithm (SCA) were used as metaheuristic algorithms in the study. When the results were evaluated, it was observed that SFS algorithm has given better results than other algorithms in terms of shortest distance and obstacle avoidance.

Anahtar Kelimeler

Path Planning, Metaheuristic, Maths-Based Algorithm, Optimization

Kaynakça

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